The Implicit Component of Moral Disengagement: Applying the Relational Responding Task to Investigate Its Relationship With Cheating Behavior.

This article aims to conceptualize, for the first time, an implicit form of moral disengagement and investigate its role in relation to cheating behavior. In line with the implicit social-cognition models, we argue that the implicit moral disengagement would represent an unintentional, automatic, and less accessible form of the mechanisms bypassing the moral self-regulatory system. We anticipate that in situations implying on-the-spot decisions and where individuals might suffer no consequences for the misconduct, the implicit moral disengagement would predict the actual behavior while the explicit moral disengagement would predict self-reported conduct. The results of three empirical studies provide support for the theorization of an implicit moral disengagement and its assessment through a newly developed implicit measurement procedure using the relational responding task. Results of the structural equation models, including both implicit and explicit moral disengagement, demonstrated that only the implicit one was associated with the actual misconduct.

Impact of COVID-19 in patients with multiple myeloma based on a global data network.

The COVID-19 pandemic has represented a major cause of morbidity/mortality worldwide, overstressing health systems. Multiple myeloma (MM) patients show an increased risk for infections and they are expected to be particularly vulnerable to SARS-CoV-2 infection. Here we have obtained a comprehensive picture of the impact of COVID-19 in MM patients on a local and a global scale using a federated data research network (TriNetX) that provided access to Electronic Medical Records (EMR) from Health Care Organizations (HCO) all over the world. Through propensity score matched analyses we found that the number of new diagnoses of MM was reduced in 2020 compared to 2019 (RR 0.86, 95%CI 0.76-0.96) and the survival of newly diagnosed MM cases decreased similarly (HR 0.61, 0.38-0.81). MM patients showed higher risk of SARS-CoV-2 infection (RR 2.09, 1.58-2.76) and a higher excess mortality in 2020 (difference in excess mortality 9%, 4.4-13.2) than non-MM patients. By interrogating large EMR datasets from HCO in Europe and globally, we confirmed that MM patients have been more severely impacted by COVID-19 pandemic than non-MM patients. This study highlights the necessity of extending preventive measures worlwide to protect vulnerable patients from SARS-CoV-2 infection by promoting social distancing and an intensive vaccination strategies.

An exploration of anger phenomenology in multiple sclerosis.

BACKGROUND AND PURPOSE: Multiple sclerosis (MS) patients are often emotionally disturbed. We investigated anger in these patients in relation to demographic, clinical, and mood characteristics. PATIENTS AND METHODS: About 195 cognitively unimpaired MS patients (150 relapsing-remitting and 45 progressive) were evaluated with the State Trait Anger Expression Inventory, the Chicago Multiscale Depression Inventory, and the State Trait Anxiety Inventory. The patients' anger score distribution was compared with that of the normal Italian population. Correlation coefficients among scale scores were calculated and mean anger scores were compared across different groups of patients by analysis of variance. RESULTS: Of the five different aspects of anger, levels of withheld and controlled Anger were respectively higher and lower than what is expected in the normal population. Although anger was correlated with anxiety and depression, it was largely independent from these mood conditions. Mean anger severity scores were not strongly influenced by individual demographic characteristics and were not higher in more severe patients. CONCLUSIONS: The presence of an altered pattern of anger, unrelated to the clinical severity of MS, suggests that anger is not an emotional reaction to disease stress. An alteration of anger mechanisms might be a direct consequence of the demyelination of the connections among the amygdale, the basal ganglia and the medial prefrontal cortex.

Brain atrophy evolution and lesion load accrual in multiple sclerosis: a 2-year follow-up study.

BACKGROUND: To investigate in a large cohort of patients with multiple sclerosis (MS), lesion load and atrophy evolution, and the relationship between clinical and magnetic resonance imaging (MRI) correlates of disease progression. METHODS: Two hundred and sixty-seven patients with MS were studied at baseline and two years later using the same MRI protocol. Abnormal white matter fraction, normal appearing white matter fraction, global white matter fraction, gray matter fraction and whole brain fraction, T2-hyperintense, and T1-hypointense lesions were measured at both time points. RESULTS: The majority of patients were clinically stable, whereas MRI-derived brain tissue fractions were significantly different after 2 years. The correlation between MRI data at baseline and their variation during the follow-up showed that lower basal gray matter atrophy was significantly related with higher progression of gray matter atrophy during follow-up. The correlation between MRI parameters and disease duration showed that gray matter atrophy rate decreased with increasing disease duration, whereas the rate of white matter atrophy had a constant pattern. Lower basal gray matter atrophy was associated with increased probability of developing gray matter atrophy at follow-up, whereas gray matter atrophy progression over 2 years and new T2 lesion load were risk factors for whole brain atrophy progression. CONCLUSIONS: In MS, brain atrophy occurs even after a relatively short period of time and in patients with limited progression of disability. Short-term brain atrophy progression rates differ across tissue compartments, as gray matter atrophy results more pronounced than white matter atrophy and appears to be a early phenomenon in the MS-related disease progression.

Treatment of multiple sclerosis with interferon beta in clinical practice: 2-year follow-up data from the South Italy Mobile MRI Project.

This follow-up study assessed the 2-year clinical and magnetic resonance imaging (MRI) outcomes of patients with multiple sclerosis (MS) originally enrolled in an MRI study conducted at eight centres in south Italy (the South Italy Mobile MRI Project). Of the 597 MS patients recruited at baseline, 391 returned for the follow-up study. Of these, 363 provided 2-year clinical and MRI follow-up data, and 215 were still undergoing treatment with one of four interferon beta regimens: Avonex, 30 mcg intramuscularly once weekly; Betaferon, 250 mcg subcutaneously (sc) every other day; Rebif 22 mcg sc three times weekly (tiw; Rebif 22); or Rebif 44 mcg sc tiw (Rebif 44). Over the 2-year follow-up period, patients receiving the higher dose of Rebif were more likely to remain free from relapses [odds ratio (OR) = 2.23] and from developing both new T2 (OR = 0.15) and new T1 black hole lesions (OR = 0.22), when compared with patients in the Avonex group. Despite some limitations in the trial design, the results from this follow-up study provide helpful clinical and MRI data on the efficacy of interferon beta regimens in MS patients treated in the clinical setting.

Brain atrophy and lesion load in a large population of patients with multiple sclerosis.

OBJECTIVE: To measure white matter (WM) and gray matter (GM) atrophy and lesion load in a large population of patients with multiple sclerosis (MS) using a fully automated, operator-independent, multiparametric segmentation method. METHODS: The study population consisted of 597 patients with MS and 104 control subjects. The MRI parameters were abnormal WM fraction (AWM-f), global WM-f (gWM-f), and GM fraction (GM-f). RESULTS: Significant differences between patients with MS and control subjects included higher AWM-f and reduced gWM-f and GM-f. MRI data showed significant differences between patients with relapsing-remitting and secondary progressive forms of MS. Significant correlations between MRI parameters and between MRI and clinical data were found. CONCLUSIONS: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM); secondary progressive patients have significantly more atrophy of both WM and GM than do relapsing-remitting patients and a significantly higher lesion load (abnormal WM fraction); lesion load is related to both WM and even more to GM atrophy; lesion load and WM and GM atrophy are significantly related to Expanded Disability Status Scale score and age at onset (suggesting that the younger the age at disease onset, the worse the lesion load and brain atrophy); and GM atrophy is the most significant MRI variable in determining the final disability.